VoxSculpt: An Open-Source Voxel Library for Tomographic Volume Sculpting in Virtual Reality

Lucas Siqueira Rodrigues, Felix Riehm, S. Zachow, J. H. Israel
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Abstract

Manual processing of tomographic data volumes, such as interactive image segmentation in medicine or paleontology, is considered a time-consuming and cumbersome endeavor. Immersive volume sculpting stands as a potential solution to improve its efficiency and intuitiveness. However, current open-source software solutions do not yield the required performance and functionalities. We address this issue by contributing a novel open-source game engine voxel library that supports real-time immersive volume sculpting. Our design leverages GPU instancing, parallel computing, and a chunk-based data structure to optimize collision detection and rendering. We have implemented features that enable fast voxel interaction and improve precision. Our benchmark evaluation indicates that our implementation offers a significant improvement over the state-of-the-art and can render and modify millions of visible voxels while maintaining stable performance for real-time interaction in virtual reality.
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voxsculppt:一个开源体素库,用于在虚拟现实中进行层析体雕刻
人工处理层析成像数据量,如医学或古生物学中的交互式图像分割,被认为是一项耗时且繁琐的工作。沉浸式体量雕塑是提高其效率和直观性的潜在解决方案。然而,目前的开源软件解决方案并不能提供所需的性能和功能。我们通过提供一个新颖的开源游戏引擎体素库来解决这个问题,该库支持实时沉浸式体积雕刻。我们的设计利用GPU实例化、并行计算和基于块的数据结构来优化碰撞检测和渲染。我们已经实现了快速体素交互和提高精度的功能。我们的基准评估表明,我们的实现在最先进的基础上有了显著的改进,可以渲染和修改数百万个可见体素,同时在虚拟现实中保持稳定的实时交互性能。
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